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This sounds like a no-true-scottsman argument. Go check github, literally a graveyard of dead open source projects, most made before AI. The harsh reality is that most projects don't gain much traction, and so the owner moves on.
Imo this depends on how you use it. I'd agree with you that I bet a lot of vibe coders didn't take formal classes in CS. So they probably aren't writing great code. But without AI, they probably wouldn't have any code at all. So compared to their non-AI non-CS buddies, they will feel "ahead" and might very well be, if they capitalize on their initial success correctly (like using the initial traction to get investers, and then going on to hire an actual engineer to re-write the project). Many start-ups start with an initial throwaway prototype. Not being constrained by "best practices" is great for prototypes.
I'd add a caveat that those who are forced to use it, and don't make personal projects in their free time, describe it as bad. Part of the reason professiomals don't like it is because they are forced to use it. But when they have a choice to use it, and they actually do, then in my experience a lot of these professionals begradgingly accept that it does speed things up.
I mean, anectodal. I do passion projects, I studied, I used it: bad. As in muddy water bad, not unable to write or not working bad. You delegate and get complacent and it can cascade to a point you become dependent on it. That said, I specified good open source projects, not ALL. The internet is fucking built on linux. If that is not proof of what open source can achieve I don't know what to tell you. You have no idea how many drivers or libraries exist entirely open source still working and maintained today. That said, I'm not here to convince you of my OPINION, I just wanted to share my educated guess on these LLMs. Nobody knows what the heck is gonna happen in the future and the fact that management (uneducated on the topic) is forcing adoption on people that work and know their field is kind of a bad sign. New people adopting new technologies is on par with previous cases, so nothing surprising here. Will they surpass the older coders or will the new AI be too costly to compete or require more expert coders to fix the mess? We have seen all these cases so far happen, so let's wait for the big numbers to tell us who wins. Certanly not the planet lol